David Acuna
21 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
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Topic Evolution
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Unstoppable
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The Questioner
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Century Club
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Keyword Collector
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Prolific Year
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Conferences
CVPR (6)
ICCV (4)
NIPS (3)
ECCV (2)
EMNLP (2)
ICLR (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
neural network
(3)
vision-language model
(3)
object detection
(2)
transfer learning
(2)
instance segmentation
(2)
semantic segmentation
(2)
boundary detection
(2)
generative model
(2)
image segmentation
(2)
domain adaptation
(2)
data selection
(2)
self-supervised learning
(1)
adversarial learning
(1)
knowledge transfer
(1)
computer vision
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
visual reasoning
(1)
autonomous driving
(1)
sample complexity
(1)
Papers
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
EMNLP 2025
Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?
CVPR 2025
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
ECCV 2024
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
ICLR 2024
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
EMNLP 2024
DreamTeacher: Pretraining Image Backbones with Deep Generative Models
ICCV 2023
Domain Adversarial Training: A Game Perspective
ICLR 2022
Complex Momentum for Optimization in Games
AISTATS 2022
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
ECCV 2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
CVPR 2022
f-Domain Adversarial Learning: Theory and Algorithms
ICML 2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
NIPS 2021
Scalable Neural Data Server: A Data Recommender for Transfer Learning
NIPS 2021
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
CVPR 2020
Variational Amodal Object Completion
NIPS 2020
Meta-Sim: Learning to Generate Synthetic Datasets
ICCV 2019
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
ICCV 2019
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations
CVPR 2019
Object Instance Annotation With Deep Extreme Level Set Evolution
CVPR 2019
Neural Turtle Graphics for Modeling City Road Layouts
ICCV 2019
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++
CVPR 2018